Современные методы интеллектуальной работы с текстовыми данными: замена или дополнение традиционному инструментарию социолога?
The rapidly increasing heterogeneous information volumes make it acute to generalize large amounts of data in order to be able to make strategically proper decisions. Information flows aggregation using traditional analytical tools is becoming difficult. As a result, a lot of new automated data analysis applications, including text-mining tools, are developing. The system of intellectual text data analysis iFORA, developed in ISSEK NRU HSE, is an example of such tool. iFORA capabilities are demonstrated on the beet sugar analysis case.
The study offers a structural literature review on the twenty years the evolution of the fast-growing research topic of intellectual capital (IC) and intangible-driven performance. Despite a rather short independent history, the IC concept has undergone a substantial transformation, bringing to the discussion vast empirical and methodological literature. Several endeavors carrying out literature review studies could only partially satisfy the needs of the systematization of the relevant research. Hence, there is still a large room for such kind of analysis due to the increasing number of new papers published in the area and puzzle of IC-related sophistications. To draw a holistic picture of the landscape of IC and associated corporate performance, this study departures from the mixed research methodology embracing elements of machine-learning tools and in-depth qualitative interpretation of obtained results and critical discussion of the most influential studies in the field. Our findings demonstrate that four professional outlets selected for the examination have generated four relatively isolated research topics: “Human capital and performance”, “Knowledge sharing, organizational learning: processes that drive performance”, “IC and knowledge management for business performance”, “Measurement, disclosure of IC and knowledge for business performance”. All these research lines are welcomed by all leading journals in the field, having high potential to create a dense flow of conceptual and empirical contributions and practical value for a knowledge-intensive business.
The conference proceedings present the results of research of young scientists of the leading scientific organizations of Russia on a wide range of topical problems of Informatics, management and system analysis. Interdisciplinary research and intensive use of data are key features of modern science. The IMSA-2018 conference (Informatics, Management and Systems Analysis) aims to establish stable links between young scientists working in completely different scientific fields, but using similar methods and tools. Such networking can provide significant breakthroughs in research through the exchange of experiences between young and senior colleagues in conference activities. The conference was supported by: Russian Foundation for basic research (grant No. 18-37-10011), Russian Academy of Sciences.